Pune’s IITM to develop models for agri prediction, water management
As part of the monsoon mission project, IITM, Pune, is presently conducting research for developing an application which would help in analysing the crop yield, pests and diseases that can affect crops, river basin run-off, ways of managing water reservoirs among other things.pune Updated: Jan 18, 2018 23:01 IST
As part of the monsoon mission project, IITM, Pune, is presently conducting research for developing an application which would help in analysing the crop yield, pests and diseases that can affect crops, river basin run-off, ways of managing water reservoirs among other things.
Ministry of earth sciences (MoES), government of India has launched the ‘National Monsoon Mission’ (NMM) with a vision to develop a state-of-the-art dynamical prediction system for monsoon rainfall on different time scales. MoES has bestowed the responsibility of execution and coordination of this mission on the Indian Institute of Tropical Meteorology (IITM), Pune.
Currently, the second phase of this project has started. Officials from IITM, Pune, said that one of the major objectives of monsoon mission is to improve operational monsoon forecast and develop relevant climate applications for agriculture, hydrology and power sectors.
Ravi S Nanjundiah, director, IITM Pune, said that the second phase of the monsoon missionhas just started.
“Our emphasis is on doing more research for developing climate applications which can be of help at the ground level. We are currently focusing on two important aspects, firstly, the agriculture predictions and secondly predictions for water resource management,” said Nanjundiah.
“The water resource predictions can help analyse the river basin runoff, managing reservoirs among other things,” he added.
Predicting natural disasters:
Nanjundiah stated that the climate application model would also help in predicting natural disasters at least five to 10 days in advance which can help save human life from the calamity.
“Last year, we were able to predict heavy rainfall in Mumbai. Around tens days earlier, we knew that there wasa high probability of heavy rainfall. With more data we could predict how much rain was expected which is very important for managing such situations. Similarly, we would be able to predict cyclone at least five days prior. Apart from this, at least two days prior to the date of cyclone hitting, we can tell if there is a need for evacuation,” said Nanjundiah.